Source: https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century/
August 22, 2016
Source: https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century/
Source: http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram
Source: http://www.kdnuggets.com/2015/05/r-vs-python-data-science.html
You can use Python when your data analysis tasks need to be integrated with web apps or if statistics code needs to be incorporated into a production database
Being a fully fledged programming language, it’s a great tool to implement algorithms for production use
“Big Data” refers to data that grows so large that it is difficult to capture, store, manage, share, analyze and visualize with the typical hardware environments and database software tools
Source : Solutions Big Data IBM, 2012
Decisions that previously were based on guesswork, or on painstakingly constructed models of reality, can now be made based on the data itself http://www.cra.org/ccc/docs/init/bigdatawhitepaper.pdf
Source : New York Times
R & RStudio
R has many functional programming features. Roughly speaking, these allow one to apply the same function to all elements of a vector, or all rows or columns of a matrix or data frame, in a single operation. The advantages are important:
R has provided a basic plotting envirorment for you.
But, ggplot2 is a more powerful visualization package in R.
You can download R from https://cran.r-project.org/ according to your OS.
You can download RStudio from https://www.rstudio.com/products/rstudio/download2/.
You can customize RStudio according to your own requirements. For example, you can change the code appearance, panel layout, and background color.
R Markdown provides an authoring framework for data science. You can use a single R Markdown file to both
R Markdown documents are fully reproducible and support dozens of static and dynamic output formats.